Data Analyst
Core
Collecting, cleaning, and organizing large datasets; developing statistical and machine learning models to analyze data, uncover patterns, and automate predictions for automotive retail clients.
Role type
Data Analyst (Machine Learning & Statistical Modeling)
Builds
Predictive models, standard and ad-hoc reports, tools, and Excel dashboards
Domain
Automotive Retail / Data Analytics
Deliverable
dashboards & analysis
Required skills
Statistical modeling (Moving Average, Linear Regression), Machine learning model deployment, Data cleaning and organization, Variance analysis, A/B testing, Market research, Data mining, Process improvement
Preferred skills
Google Analytics, Adobe Analytics, Amplitude
Technologies
Microsoft Excel, SQL, Access, Business Objects
Responsibilities
Collecting, cleaning, and organizing large datasets; Developing and implementing statistical models to analyze data and uncover patterns; Building and deploying machine learning models to automate predictions; Communicating findings and recommendations to stakeholders through visualizations, reports, and presentations; Defining and tracking key performance metrics to evaluate the success of models; Standardizing dashboards and providing recommendations to product managers; Monitoring and analyzing performance levels of projects and competitive products; Conducting market research and data mining using techniques like Null Hypothesis and Correlation Analysis.
Seniority
Individual Contributor
